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dyu-whisper-small
Dioula speech recognition: Whisper small fine-tuned by GO AI Corp.
| Task | Speech recognition, Dioula (dyu) |
| Base model | openai/whisper-small |
| Training data | dyu-speech train (Koumankan; inferred from the number of training steps) |
| Published | April 2026 |
| Related | Served by the product endpoint dyu-asr |
Résumé en français. Reconnaissance de la parole en dioula : Whisper small affiné par GO AI Corp. Entraîné sur l'ensemble
traindedyu-speech(Koumankan ; déduit du nombre d'étapes d'entraînement). Publié en avril 2026 ; c'est le modèle servi par le point d'accèsdyu-asr. Licence CC BY-SA 4.0, comme ses données d'entraînement : citez UVCI et Data354 (Koumankan4Dyula) et partagez vos adaptations sous la même licence. Accès sur demande.
Quick start
from transformers import pipeline
asr = pipeline("automatic-speech-recognition", model="goaicorp/dyu-whisper-small")
print(asr("audio.wav")["text"]) # 16 kHz mono works best
Evaluation
| Test set | WER | CER |
|---|---|---|
| dyu-speech test (1,393 clips) | pending | pending |
The run reported WER 84.4% on its own validation split, which is not comparable with other systems.
Limits
- Early model: word error rates above 80% make it unusable in practice.
- Read speech only.
License
CC BY-SA 4.0, because it was trained on CC BY-SA data (Koumankan4Dyula, UVCI and Data354). Credit them and share adaptations under the same license.
Citation
@misc{goaicorp2026dyuwhispersmall,
title = {dyu-whisper-small: Dioula speech recognition with Whisper small},
author = {Nyantudre, Wendyellé Abubakrh Alban and Bandaogo, Aristide},
year = {2026},
howpublished = {Hugging Face Models, GO AI Corp},
url = {https://huggingface.co/goaicorp/dyu-whisper-small}
}
Developed and maintained by
- Wendyellé A. Alban NYANTUDRE: nyantudre@gmail.com
- Aristide BANDAOGO: aristide@goaicorporation.org
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